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An Accurate Risk Score Based on Anthropometric, Dietary, and Lifestyle Factors to Predict the Development of Type 2 Diabetes

Response to Schulze et al.

¹ Department of Medicine III, Medical Faculty Carl Gustav Carus of the Technical University Dresden, Dresden, Germany
² Department of Public Health, University of Helsinki, Helsinki, Finland
³ Diabetes Unit, Department of Health Promotion and Chronic Disease Prevention, National Public Health Institute, Helsinki, Finland
⁴ South Ostrobothnia Central Hospital, Seinäjoki, Finland

Address correspondence to Dr. Peter E.H. Schwarz, Department of Medicine III, Medical Faculty Carl Gustav Carus of the Technical University Dresden, Building 10, Room 108, Fetscherstrasse 74, 01309, Dresden, Germany. E-mail: peter.schwarz@uniklinikum-dresden.de

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We read with interest the article by Schulze et al. (1) that describes the development of the accurate German Diabetes Risk Score (DRS) to predict the development of type 2 diabetes. There is a clear consensus that it is necessary to have simple noninvasive tools for screening diabetes risk in order to identify persons who are eligible for further diagnostic assessments or preventive interventions (2).

An alternative test is the Finnish DRS (3), which is based on a categorical model and currently used in population-based type 2 diabetes prevention projects in several countries. In practice, the Finnish DRS . . . [Full Text of this Article]

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				M. B. Schulze, H.-U. Haring, A. F.H. Pfeiffer, and H.-G. Joost An Accurate Risk Score Based on Anthropometric, Dietary, and Lifestyle Factors to Predict the Development of Type 2 Diabetes: Response to Schwarz et al. Diabetes Care, August 1, 2007; 30(8): e88 - e88. [Full Text] [PDF]